Model Comparison

DeepSeek VL2 vs Grok-1.5V

DeepSeek VL2 has a slight edge in benchmark performance.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek VL2 outperforms in 4 benchmarks (ChartQA, DocVQA, MathVista, TextVQA), while Grok-1.5V is better at 3 benchmarks (AI2D, MMMU, RealWorldQA).

DeepSeek VL2 has a slight edge in benchmark performance.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
xAI
Grok-1.5V
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Grok-1.5V support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Grok-1.5V uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2

deepseek

Open weights

Grok-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Grok-1.5V was released on 2024-04-12.

DeepSeek VL2 is 8 months newer than Grok-1.5V.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

8mo newer
Grok-1.5V

Apr 12, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Has open weights
Higher ChartQA score (86.0% vs 76.1%)
Higher DocVQA score (93.3% vs 85.6%)
Higher MathVista score (62.8% vs 52.8%)
Higher TextVQA score (84.2% vs 78.1%)
xAI
Higher AI2D score (88.3% vs 81.4%)
Higher MMMU score (53.6% vs 51.1%)
Higher RealWorldQA score (68.7% vs 68.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
xAI
Grok-1.5V

FAQ

Common questions about DeepSeek VL2 vs Grok-1.5V.

Which is better, DeepSeek VL2 or Grok-1.5V?

DeepSeek VL2 has a slight edge in benchmark performance. DeepSeek VL2 is made by DeepSeek and Grok-1.5V is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 compare to Grok-1.5V in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%.

What are the context window sizes for DeepSeek VL2 and Grok-1.5V?

DeepSeek VL2 supports 129K tokens and Grok-1.5V supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and Grok-1.5V?

Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Grok-1.5V?

DeepSeek VL2 is developed by DeepSeek and Grok-1.5V is developed by xAI.